Z-Inspection®: A Process to Assess Trustworthy AI

Roberto V.  Zicari; John Brodersen; James Brusseau; Boris Düdder; Timo Eichhorn; Todor Ivanov; Georgios Kararigas; Pedro Kringen; Melissa McCullough; Florian Möslein; Naveed Mushtaq; Gemma Roig; Norman Stürtz; Karsten Tolle; Jesmin Jahan Tithi; Irmhild van Halem; Magnus Westerlund

doi:10.1109/TTS.2021.3066209

Z-Inspection®: A Process to Assess Trustworthy AI

Roberto V. Zicari, John Brodersen, James Brusseau, Boris Düdder, Timo Eichhorn, Todor Ivanov, Georgios Kararigas, Pedro Kringen, Melissa McCullough, Florian Möslein, Naveed Mushtaq, Gemma Roig, Norman Stürtz, Karsten Tolle, Jesmin Jahan Tithi, Irmhild van Halem, Magnus Westerlund

Faculty of Medicine

Research output: Contribution to journal › Article › peer-review

Abstract

The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics, namely, Z-Inspection ® , to assess if an AI system is trustworthy. We use the definition of trustworthy AI given by the high-level European Commission's expert group on AI. Z-Inspection ® is a general inspection process that can be applied to a variety of domains where AI systems are used, such as business, healthcare, and public sector, among many others. To the best of our knowledge, Z-Inspection ® is the first process to assess trustworthy AI in practice.

Original language	English
Pages (from-to)	83-97
Journal	IEEE transactions on Technology and Society
Volume	2
Issue number	2
DOIs	https://doi.org/10.1109/TTS.2021.3066209
Publication status	Published - 17 Mar 2021

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10.1109/TTS.2021.3066209

Cite this

Zicari, R. V., Brodersen, J., Brusseau, J., Düdder, B., Eichhorn, T., Ivanov, T., Kararigas, G., Kringen, P., McCullough, M., Möslein, F., Mushtaq, N., Roig, G., Stürtz, N., Tolle, K., Tithi, J. J., van Halem, I., & Westerlund, M. (2021). Z-Inspection®: A Process to Assess Trustworthy AI. IEEE transactions on Technology and Society, 2(2), 83-97. https://doi.org/10.1109/TTS.2021.3066209

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abstract = "The ethical and societal implications of artificial intelligence systems raise concerns. In this article, we outline a novel process based on applied ethics, namely, Z-Inspection {\textregistered} , to assess if an AI system is trustworthy. We use the definition of trustworthy AI given by the high-level European Commission's expert group on AI. Z-Inspection {\textregistered} is a general inspection process that can be applied to a variety of domains where AI systems are used, such as business, healthcare, and public sector, among many others. To the best of our knowledge, Z-Inspection {\textregistered} is the first process to assess trustworthy AI in practice.",

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doi = "10.1109/TTS.2021.3066209",

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Zicari, RV, Brodersen, J, Brusseau, J, Düdder, B, Eichhorn, T, Ivanov, T, Kararigas, G, Kringen, P, McCullough, M, Möslein, F, Mushtaq, N, Roig, G, Stürtz, N, Tolle, K, Tithi, JJ, van Halem, I & Westerlund, M 2021, 'Z-Inspection®: A Process to Assess Trustworthy AI', IEEE transactions on Technology and Society, vol. 2, no. 2, pp. 83-97. https://doi.org/10.1109/TTS.2021.3066209

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AU - Zicari, Roberto V.

AU - Brodersen, John

AU - Brusseau, James

AU - Düdder, Boris

AU - Eichhorn, Timo

AU - Ivanov, Todor

AU - Kararigas, Georgios

AU - Kringen, Pedro

AU - McCullough, Melissa

AU - Möslein, Florian

AU - Mushtaq, Naveed

AU - Roig, Gemma

AU - Stürtz, Norman

AU - Tolle, Karsten

AU - Tithi, Jesmin Jahan

AU - van Halem, Irmhild

AU - Westerlund, Magnus

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